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The Strategic and Long-Range Communications Group develops new system concepts and techniques to support the US Government's most critical communications needs. The Group specializes in RF communications in multi-domain applications (ground, sea, air, and space) for global assured connectivity in the presence of adversary interference and interception threats. The Group leverages its expertise in communications system analysis, digital signal processing, RF technology, rapid prototyping, and field experimentation to research, develop, characterize, and demonstrate new capabilities. Position Description The Group is seeking creative and enthusiastic candidates to develop and analyze current and future RF system concepts and algorithms. Typical activities include communication systems research; and simulation of modulation, coding, machine learning, and link layer algorithms as they apply to unique military communication scenarios. Day to day activities include * Design innovative adaptive RF systems focused primarily at physical and link layers * Analyze RF communications systems scenarios and identify key trends and opportunities for improvement * Develop novel ideas for next generation DoD RF communications * Perform link budget calculations; identify and account for key environmental characteristics that will drive performance, and * Devise and coordinate laboratory and field experiments that measure and demonstrate novel capabilities. Minimum Qualifications * PhD or M.S. degree with 5 plus years of experience in Electrical Engineering, Physics, Applied Mathematics, Computer Science, or related field * Demonstrated background in a relevant field and strong interest and motivation to apply their skills to problems in communications * Highly effective written and verbal communication skills * Ability to work effectively in a team and set priorities * Strong problem-solving skills Preferred Qualifications * Experience using MATLAB, Python, or similar numerical analysis tool * Experience with communication systems, information theory, and/or detection and estimation theory * Background in statistical inference, numerical linear algebra and optimization methods, data processing and scientific computing. Recent Graduate Hiring Range: $145,200 - $170,000 Experienced Hiring Range: $145,200 - $220,000 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: * Comprehensive health, dental, and vision plans * MIT-funded pension * Matching 401K * Paid leave (including vacation, sick, parental, military, etc.) * Tuition reimbursement and continuing education programs * Mentorship programs * A range of work-life balance options * ... and much more! Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks . Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 43032